Open Qualitative Research (Taguette)
The Carpentries alpha Stage
A full draft exists and is being piloted by the original developers. Gaps or inconsistencies may still be present.About this Lesson
Familiarizes learners with the application of open science principles to qualitative research. Focuses on documents or transcribed text in a variety of data formats and working with secondary qualitative data.
Learning Objectives
- Work with secondary qualitative data from the Qualitative Data Repository (QDR).
- Use the free software Taguette for qualitative analysis.
- Discuss options and limitations for open research with proprietary qualitative analysis packages.
- Understand options for sharing source data and coded analysis projects.
Keywords
Workshop History
| Date | Location | Format | Instructor |
|---|---|---|---|
| 4/3/2025 | Co-taught Workshop | Co-taught Pilot | Sebastian Karcher |
| 4/1/2025 | External Pilot | Pilot | Authors |
Recognition & Impact
JeSLIB Article Published
A peer-reviewed article describing this curriculum is published in the Journal of eScience Librarianship (JeSLIB).
Read MoreHelp Improve this Curriculum
This lesson is currently in the alpha phase. The authors are currently piloting this draft. You can help by reviewing the materials and reporting any bugs or areas for improvement.
For more on how to run a pilot, visit The Carpentries Handbook.
- Duration: 90m - 3h (estimated)
- Level: Introductory
- License: CC-BY 4.0
APA Format:
BibTeX:
Show BibTeX
@misc{open_qualitative_research_taguette_2026,
author = {Nathaniel Porter},
title = {Open Qualitative Research (Taguette)},
year = {2026},
publisher = {UCLA IMLS Open Science},
url = {https://ucla-imls-open-sci.info/lessons/open-qualitative-research-taguette}
}- Last updated: May 2026
- Contributors: 4 people
- Bookmarked: 2 times on GitHub
- Open discussions: 13
What does this mean?
These signals come from the lesson's GitHub repository — the place where authors store and update the curriculum. Last updated tells you when the lesson materials were most recently changed. Contributors counts how many people have worked on it. Open discussions are questions, bug reports, or improvement suggestions that haven't been resolved yet — a higher number can mean active community interest or areas the lesson is still refining. Together they give a sense of whether the lesson is actively maintained.
Updated weekly from GitHub.
Authors
